Information Technology of Targeting: Optimization of Decision Making Process in a Competitive Environment

Барабаш, Олег; Shevchenko, Galina; Dakhno, N. B.; Neshcheret, Olena; Musienko, Andrii

doi:10.5815/ijisa.2017.12.01

Cited by 16 publications

(5 citation statements)

References 19 publications

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“…In [17] the study analyzed the various needs of customers, focusing on online advertising based on methods of classification, segmentation and clustering. In [16] the model of selection of the optimal amount of advertising on various Internet resources is analyzed in order to achieve the desired coverage of the target audience. In addition, the method of multi-criteria optimization with the definition of the obtained objective function is considered, which allows considering simultaneously the various aspects of media selection issue and optimal budgeting and budget allocation.…”

Section: Related Workmentioning

confidence: 99%

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Lipianina-Honcharenko¹,

Lendyuk²,

Sachenko³

et al. 2022

Computer Modeling and Intelligent Systems

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Section: Related Workmentioning

confidence: 99%

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Lipianina-Honcharenko¹,

Lendyuk²,

Sachenko³

et al. 2022

Computer Modeling and Intelligent Systems

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“…Аналіз літератури показав, що імітаційному моделюванню процесу прокладання геометричного шляху в складному навколишньому оточенні присвячено ряд робіт [1][2][3].…”

Section: аналіз літературних даних і постановка проблемиunclassified

Development of the unmanned aerial vehicle safe flight trajectorycalculation and adjustment process immitation model

Zolotukhina¹,

Voloshyn²,

Давыдов³

et al. 2020

TIT

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The article is devoted to the development and research the unmanned aerial vehicle safe flight trajectory calculation and adjustment process imitation model. The main distinguishing feature of the presented model is taking into account the signals of radar stations during the determination and adjustment the location of the aerial vehicle in the case of an autonomous flight and adapting the route based on possible obstacles and deviations. This will improve the safety of the unmanned aerial vehicle flight trajectory. Main studies of path planning methods approaches are analyzed. It was concluded that two-dimensional representation and visualization has disadvantages. Based on disadvantages, the three-dimensional calculated trajectory visualization of a flight mission by an unmanned aerial vehicle simulation model is developed. The simulation model combines the solution of following subtasks: a) modeling a three-dimensional environment with obstacles; b) building an unmanned aerial vehicle trajectory in such environment with avoidance the obstacles. Missions simulation is performed based on developed software system, sequentially, step by step. The following results of the simulation are achieved: 1) a special graphical interface for entering input data and displaying the results is developed; 2) the subsystem for simulation the space for performing a flight task taking into account the location and signals of external influences (for example, radar stations) was developed; 3) the subsystem for flight trajectory simulation calculation and visualization is developed. The software system is built using Delphi based on modular basis. The functional software system structure and the order of each functional module operation are described in article. The system’s graphical interface structure is discussed separately. An example of calculating and adjusting the safe flight trajectory of an unmanned aerial vehicle is illustrated.

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“…The description of dynamic systems is extremely diverse: it can be implemented using differential equations, discrete mappings, graph theory, the theory of Markov chains, etc. The choice of one of the methods describes a particular type of mathematical model of the corresponding dynamic system [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Improvement of variational-gradient method in dynamical systems of automated control for integro-differential models

Mashkov¹,

Sobchuk²,

Барабаш³

et al. 2019

Math. Model. Comput.

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The dynamical systems given by integro-differentiation models with K-symmetric K-positive-definite operator are considered. The variational-gradient method was applied to those models. The analysis showed that the implementation of this method does not require knowledge of the operator spectrum, in addition, it has a better convergence rate and is more resistant to disturbances than gradient methods. The theorem is proved in this paper, which allows us to draw conclusions about the effectiveness of the application of the variational-gradient method for the research of control problems. Investigation of an integro-differential model with a K-positive-definite K-symmetric operator using the variational-gradient method will increase the efficiency of information processing in the processes of control and research of dynamic systems. Application of the variationalgradient method to the control tasks will allow expanding the range of tasks under consideration. It is noted that the development of modern technologies entails an increase in the complexity of control objects, an increase in the quality requirements and the accuracy of control due to the increase in the cost of control error. This makes to be essential further development and improvement of methods that solve the problems of optimal control, for example, unmanned aerial vehicles. As the model example, the application of the variational-gradient method to the models of automated control systems for unmanned aerial vehicles is considered.

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Information Technology of Targeting: Optimization of Decision Making Process in a Competitive Environment

Cited by 16 publications

References 19 publications

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Development of the unmanned aerial vehicle safe flight trajectorycalculation and adjustment process immitation model

Improvement of variational-gradient method in dynamical systems of automated control for integro-differential models

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